private Result DetectAndPaintImage(string imageFilePath)
{
//Predict the objects in the image
_modelScorer.DetectObjectsUsingModel(imageFilePath);
var img = _modelScorer.PaintImages(imageFilePath);
using (MemoryStream m = new MemoryStream())
{
img.Save(m, img.RawFormat);
byte[] imageBytes = m.ToArray();
// Convert byte[] to Base64 String
base64String = Convert.ToBase64String(imageBytes);
var result = new Result {
imageString = base64String
};
return(result);
}
}
public async Task <IActionResult> IdentifyObjects(IFormFile imageFile)
{
if (imageFile.Length == 0)
{
return(BadRequest());
}
string imageFilePath = "", fileName = "";
try
{
//Save the temp image into the temp-folder
fileName = await _imageWriter.UploadImageAsync(imageFile, _imagesTmpFolder);
imageFilePath = Path.Combine(_imagesTmpFolder, fileName);
_logger.LogInformation($"Start processing image file { imageFilePath }");
//Measure execution time
var watch = System.Diagnostics.Stopwatch.StartNew();
//Predict the objects in the image
var objectsNames = _modelScorer.DetectObjectsUsingModel(imageFilePath);
_modelScorer.PaintImages(imageFilePath);
//Stop measuring time
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
_logger.LogInformation($"Image processed in {elapsedMs} miliseconds");
return(Ok(objectsNames));
}
catch (Exception e)
{
_logger.LogInformation("Error is: " + e.Message);
return(BadRequest());
}
}
public Result Get([FromQuery] string url)
{
string imageFileRelativePath = @"../../.." + url;
string imageFilePath = ModelHelpers.GetAbsolutePath(imageFileRelativePath);
var watch = System.Diagnostics.Stopwatch.StartNew();
//Predict the objects in the image
var objectsNames = _modelScorer.DetectObjectsUsingModel(imageFilePath);
var img = _modelScorer.PaintImages(imageFilePath);
using (MemoryStream m = new MemoryStream())
{
img.Save(m, img.RawFormat);
byte[] imageBytes = m.ToArray();
// Convert byte[] to Base64 String
string base64String = Convert.ToBase64String(imageBytes);
return(new Result {
imageString = base64String
});
}
}